Data Analyst Business Intelligence

R SRIKAR SASTRY

Portfolio *.******.******@*****.*** 857-***-**** GitHub

EDUCATION

Northeastern University, Boston, MA Sep 2022 – May 2024 Master of Science in Data Analytics Engineering GPA: 3.72/4.0 Relevant Coursework: Data Management, Data Visualization, Data Mining, Machine Learning, Business Intelligence Manipal Institute of Technology, Karnataka, India Aug 2016 – Jul 2020 Bachelor of Technology in Mechanical Engineering

PROFESSIONAL EXPERIENCE

Data Analyst Accenture QBE Insurance Nov 2020 – Sep 2022

Collaborated with cross-functional teams, including finance and business partners, to optimize resource allocation for data analysis projects, ensuring efficient use of resources and meeting key business objectives.

Provided strategic data-driven insights that supported decision-making for resource allocation, project planning, and operational efficiency, aligning analysis efforts with overall business strategy.

Monitored and optimized database performance using Dynatrace and SQL, improving system scalability, ensuring cost-effective operations, and addressing performance bottlenecks and operational challenges.

Synthesized complex datasets into actionable recommendations for senior management, contributing to strategic initiatives aimed at enhancing operational performance and long-term business success.

Presented data insights and key performance metrics through clear and concise reports and visualizations, enabling business leaders to make informed, data-driven decisions across varying levels of the organization.

Proactively partnered with business and finance teams to develop cost-benefit analyses and support investment decisions, ensuring alignment with both short-term and long-term business goals.

Identified opportunities to streamline work processes and improve operational efficiency, contributing to process improvements that made the team more effective in achieving business objectives.

Demonstrated strong attention to detail in managing large datasets with high accuracy, while maintaining flexibility in responding to shifting priorities and continuously delivering insightful analytics and reporting. PROJECTS

Exploring Stock Market Trends (AWS S3 Athena Glue Lambda Tableau) Mar 2024 – Apr 2024

Implemented an ETL pipeline in AWS for historical Nifty stock price data, integrating OHLCV data and 55 indicators for comprehensive analysis.

Maximized investment returns by 15% in the Indian stock market through strategic insights derived from comprehensive data analytics techniques, including interactive dashboard creation. Implementing Centralized E-Commerce Database (PostgreSQL DBeaver Talend Studio) Jan 2024 – Feb 2024

Designed a centralized E-Commerce database with 12 data warehouse tables, managing datasets exceeding 10,000 rows each using SQL for efficient data insertion and management.

Streamlined ETL workflow with Talend, overseeing integration tasks and automation operations, resulting in a 30% reduction in processing time and enhancing data scalability. Forecasting Fixed Deposit Subscriptions (Python Pandas NumPy ScikitLearn) Apr 2023 – May 2023

Developed a predictive model using Python and data mining tools, achieving 95% accuracy through 10 years of historical data analysis.

Provided strategic insights to banking institutions, driving a 20% growth in fixed deposit subscriptions by accurately predicting client behavior and boosting future marketing success by 25%. Analyzing Salary Insights (Pandas Tableau) Feb 2023 – Mar 2023

Constructed an interactive dashboard using Tableau to analyze compensation trends based on 12+ dimensions by implementing data visualizations, including heat maps, scatter plots, and bar charts.

Conducted in-depth data analyses by empowering users to interact with data and explore more than 25 different scenarios, thus creating realistic salary expectations and helping users capture value. SKILLS

Programming Languages: Python, R, Java, HTML, CSS

Databases: MongoDB, MySQL, SQL(PostgreSQL), MS SQL Server

Business Intelligence Tools: Tableau, Power BI, Talend Studio

Libraries: NumPy, Pandas, Seaborn, Matplotlib, SciPy

Methodologies: Agile / SCRUM, Waterfall

Other Tools: GitHub, Microsoft Excel, JIRA, AWS

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